Project Summary

Designed and implemented a comprehensive security and privacy framework for Industrial AI systems, protecting sensitive operational data and securing the full AI and ML lifecycle.

Technologies Used

Data privacy and protection mechanisms, secure AI and ML pipeline architectures, access control and data isolation frameworks, and defenses against AI-specific threats such as poisoning, model theft, and inference attacks.

Industry Applied

Industrial AI, Industrial IoT (IIoT), operational technology (OT) environments, and secure industrial analytics platforms.

Benefits Delivered

• Protected sensitive industrial and operational data
• Secured AI and ML pipelines across training, deployment, and inference
• Reduced risk from AI-specific attack vectors
• Enabled safe and compliant AI adoption in OT and IIoT environments